Evidence map›Paper›PMID 26464095›Full record

ArticleJournal of exposure science & environmental epidemiology

Short-term exposure to traffic-related air pollution and daily mortality in London, UK.

Richard W Atkinson, Antonis Analitis, Evangelia Samoli, Gary W Fuller, David C Green, Ian S Mudway, Hugh R Anderson, Frank J Kelly

Open access · hybridAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.

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  14. Association between PMInternational journal of environmental research and public health · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Richard W AtkinsonPopulation Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK.
Antonis AnalitisDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece.
Evangelia SamoliDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece.
Gary W FullerMRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK.
David C GreenMRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK.
Ian S MudwayMRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK.
Hugh R AndersonPopulation Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK.
Frank J KellyMRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK.
King's College London · GBNational and Kapodistrian University of Athens · GRSt George's, University of London · GB

Funding

Medical Research Council G1000758Medical Research Council MR/L01341X/1
6 · The paper itself

Abstract

Epidemiological studies have linked daily concentrations of urban air pollution to mortality, but few have investigated specific traffic sources that can inform abatement policies. We assembled a database of >100 daily, measured and modelled pollutant concentrations characterizing air pollution in London between 2011 and 2012. Based on the analyses of temporal patterns and correlations between the metrics, knowledge of local emission sources and reference to the existing literature, we selected, a priori, markers of traffic pollution: oxides of nitrogen (general traffic); elemental and black carbon (EC/BC) (diesel exhaust); carbon monoxide (petrol exhaust); copper (tyre), zinc (brake) and aluminium (mineral dust). Poisson regression accounting for seasonality and meteorology was used to estimate the percentage change in risk of death associated with an interquartile increment of each pollutant. Associations were generally small with confidence intervals that spanned 0% and tended to be negative for cardiovascular mortality and positive for respiratory mortality. The strongest positive associations were for EC and BC adjusted for particle mass and respiratory mortality, 2.66% (95% confidence interval: 0.11, 5.28) and 2.72% (0.09, 5.42) per 0.8 and 1.0 μg/m(3), respectively. These associations were robust to adjustment for other traffic metrics and regional pollutants, suggesting a degree of specificity with respiratory mortality and diesel exhaust containing EC/BC.

Indexed as

Air PollutantsAir PollutionCarbonCarbon MonoxideCardiovascular DiseasesCitiesEnvironmental ExposureEnvironmental MonitoringHumansHumidityLondonMotor VehiclesParticle SizeParticulate MatterPoisson DistributionRegistriesAir PollutantsCarbonCarbon MonoxideParticulate MatterSoot

Identifiers

PMID26464095
PMCPMC4756269
OpenAlexW2260437559

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.